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The discrepancies between theoretical and observed spectra, and the systematic differences between various spectroscopic parameter estimates, complicate the determination of atmospheric parameters of M-type stars. In this work, we present…

Solar and Stellar Astrophysics · Physics 2024-10-23 Bing Du , A-Li Luo , Song Wang , Yinbi Li , Cai-Xia Qu , Xiao Kong , Yan-xin Guo , Yi-han Song , Fang Zuo

The German Astrophysical Virtual Observatory (GAVO) developed the registered service TheoSSA (theoretical stellar spectra access) and the supporting registered VO tool TMAW (Tuebingen Model-Atmosphere WWW interface). These allow individual…

Solar and Stellar Astrophysics · Physics 2018-02-28 T. Rauch , M. Demleitner , D. Hoyer , K. Werner

We present the MaNGA FIREFLY Value-Added-Catalogue (VAC) - a catalogue of ~3.7 million spatially resolved stellar population properties across 10,010 nearby galaxies from the final data release of the MaNGA survey. The full spectral fitting…

We present a method estimating the atmospheric parameters Teff, log g, [Fe/H] for stars observed, even at low signal to noise ratio, with the echelle spectrograph ELODIE on the 193cm telescope at Observatoire de Haute-Provence. The method…

Astrophysics · Physics 2007-05-23 D. Katz , C. Soubiran , R. Cayrel , M. Adda , R. Cautain

A scheme for estimating atmospheric parameters T$_{eff}$, log$~g$, and [Fe/H] is proposed on the basis of Least Absolute Shrinkage and Selection Operator (LASSO) algorithm and Haar wavelet. The proposed scheme consists of three processes. A…

Solar and Stellar Astrophysics · Physics 2015-08-04 Yu Lu , Xiangru Li

Asteroseismology is a powerful tool to precisely determine the evolutionary status and fundamental properties of stars. With the unprecedented precision and nearly continuous photometric data acquired by the NASA Kepler mission, parameters…

Solar and Stellar Astrophysics · Physics 2016-06-22 Liang Wang , Wei Wang , Yue Wu , Gang Zhao , Yinbi Li , Ali Luo , Chao Liu , Yong Zhang , Yonghui Hou , Yuefei Wang

The X-shooter Spectral Library (XSL) is an empirical stellar library at medium spectral resolution covering the wavelength range from 3000 \AA to 24 800 \AA. This library aims to provide a benchmark for stellar population studies. In this…

In the current panorama of large surveys, the vast amount of data obtained with different methods, data types, formats, and stellar samples, is making an efficient use of the available information difficult. The Survey of Surveys is a…

Libraries of stellar spectra, such as ELODIE (Prugniel & Soubiran 2001), CFLIB (Valdes et al. 2004), or MILES (S\'anchez-Bl\'azquez et al. 2006), are used for a variety of applications, and especially in modelling stellar populations (e. g.…

Solar and Stellar Astrophysics · Physics 2018-07-24 Kaushal Sharma , H. P. Singh , A. Kashyap , P. Prugniel

A number of spectroscopic surveys have been carried out or are planned to study the origin of the Milky Way. Their exploitation requires reliable automated methods and softwares to measure the fundamental parameters of the stars. Adopting…

A library of 211 echelle spectra taken with ELODIE at the Observatoire de Haute-Provence is presented. It provides a set of spectroscopic standards covering the full range of gravities and metallicities in the effective temperature interval…

Astrophysics · Physics 2009-10-30 C. Soubiran , D. Katz , R. Cayrel

We set out to determine stellar labels from low-resolution survey spectra of hot, OBA stars with effective temperature (Teff) higher than 7500K. This fills a gap in the scientific analysis of large spectroscopic stellar surveys such as…

Context: The analysis of unresolved stellar populations demands evolutionary synthesis models with realistic physical ingredients and extended wavelength coverage. Aims: To obtain a quantitative description of the first CO bandhead at 2.3…

Stellar evolution codes play a major role in present-day astrophysics, yet they share common issues. In this work we seek to remedy some of those by the use of results from realistic and highly detailed 3D hydrodynamical simulations of…

Understanding the atmospheric parameters of stars on the top of the RGB is essential to reveal the chemical composition of the Milky Way, as they can be used to probe the farthest parts of our Galaxy. Our goal is to determine the chemical…

Solar and Stellar Astrophysics · Physics 2024-04-23 Z. Dencs , A. Derekas , T. Mitnyan , M. F. Andersen , B. Cseh , F. Grundahl , V. Hegedűs , J. Kovács , L. Kriskovics , P. L. Palle , A. Pál , L. Szigeti , Sz. Mészáros

Some studies of stars' multi-element abundance distributions suggest at least 5-7 significant dimensions, but others show that many elemental abundances can be predicted to high accuracy from [Fe/H] and [Mg/Fe] (or [Fe/H] and age) alone. We…

Astrophysics of Galaxies · Physics 2022-03-30 Yuan-Sen Ting , David H. Weinberg

Extended stellar haloes are a natural by-product of the hierarchical formation of massive galaxies. If merging is a non-negligible factor in the growth of our Galaxy, evidence of such events should be encoded in its stellar halo. Reliable…

Astrophysics of Galaxies · Physics 2018-12-26 Jovan Veljanoski , Amina Helmi , Maarten Breddels , Lorenzo Posti

In the era of large stellar spectroscopic surveys, there is emphasis on deriving not only stellar abundances but also ages for millions of stars. In the context of Galactic archeology, stellar ages provide a direct probe of the formation…

Solar and Stellar Astrophysics · Physics 2017-05-23 Aaron Dotter , Charlie Conroy , Phillip Cargile , Martin Asplund

As a typical data-driven method, deep learning becomes a natural choice for analysing astronomical data nowadays. In this study, we built a deep convolutional neural network to estimate basic stellar parameters $T\rm{_{eff}}$, log g,…

Astrophysics of Galaxies · Physics 2022-08-03 Zhuohan Li , Gang Zhao , Yuqin Chen , Xilong Liang , Jingkun Zhao

In this paper, we explore the feasibility of using machine learning regression as a method of extracting basic stellar parameters and line-of-sight extinctions from spectro-photometric data. We built a stable gradient-boosted random-forest…